Evidence map›Paper›PMID 36539790›Full record

ArticleBMC public health2022

Effects of different levels of non-pharmaceutical interventions on hand, foot and mouth disease in Guangzhou, China.

Keyi Wu, Xiaowei Ma, Huamin Liu, Jiazhen Zheng, Rui Zhou, Zelin Yuan, Zhiwei Huang, Qi Zhong, Yining Huang, Zhoubin Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Keyi Wu *Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023-1063, Shatai South Road, Guangzhou, 510515, China.
Xiaowei Ma *Guangzhou Center for Disease Control and Prevention, Guangzhou City, 510440, Guangdong, China.
Huamin LiuDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023-1063, Shatai South Road, Guangzhou, 510515, China.
Jiazhen ZhengDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023-1063, Shatai South Road, Guangzhou, 510515, China.
Rui ZhouDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023-1063, Shatai South Road, Guangzhou, 510515, China.
Zelin YuanDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023-1063, Shatai South Road, Guangzhou, 510515, China.
Zhiwei HuangDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023-1063, Shatai South Road, Guangzhou, 510515, China.
Qi ZhongDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023-1063, Shatai South Road, Guangzhou, 510515, China.
Yining HuangDepartment of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023-1063, Shatai South Road, Guangzhou, 510515, China.
Zhoubin Zhang *Guangzhou Center for Disease Control and Prevention, Guangzhou City, 510440, Guangdong, China. zhoubinzhanggz@21cn.com.
Xianbo Wu *Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023-1063, Shatai South Road, Guangzhou, 510515, China. wuxb1010@smu.edu.cn.
Southern Medical University · CNGuangzhou Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-pharmaceutical interventions (NPIs) against coronavirus disease 2019 (COVID-19) may have suppressed the transmission of other infectious diseases. This study aimed to evaluate the impact of different degrees of NPIs during the COVID-19 pandemic on hand, foot and mouth disease (HFMD) in Guangzhou, China.

methodsWeekly reported HFMD cases and pathogens information during 2015-2021 in Guangzhou were collected from the China National Notifiable Disease Reporting System. The observed number of HFMD cases in 2020 and 2021 was compared to the average level in the same period during 2015-2019. Then, an interrupted time-series segmented regression analysis was applied to estimate the impact of NPIs on HFMD, such as social distancing, suspension of schools, community management and mask wearing. The effects across different subgroups stratified by gender, children groups and enterovirus subtype of HFMD were also examined.

resultsA total of 13,224 and 36,353 HFMD cases were reported in 2020 and 2021, which decreased by 80.80% and 15.06% respectively compared with the average number of cases in the same period during 2015-2019. A significant drop in the number of HFMD cases during time when strict NPIs were applied (relative change: 69.07% [95% confidence interval (CI): 68.84%-69.30%]). The HFMD incidence rebounded to historical levels in 2021 as the lockdown eased. The slightest reduction of HFMD cases was found among children at kindergartens or childcare centres among the three children groups (children at kindergartens or childcare centres: 55.50% [95% CI: 54.96%-56.03%]; children living at home: 72.64% [95% CI: 72.38%-72.89%]; others: 74.06% [95% CI: 73.19%-74.91%]).

conclusionsThe strong NPIs during the COVID-19 epidemic may have a significant beneficial effect on mitigating HFMD. However, the incidence of HFMD rebounded as the NPIs became less stringent. Authorities should consider applying these NPIs during HFMD outbreaks and strengthening personal hygiene in routine prevention.

Indexed as

COVID-19Foot-and-Mouth DiseaseHand, Foot and Mouth DiseaseAnimalsChildChinaCommunicable Disease ControlHumansIncidencePandemicsCOVID-19HFMDInfectious disease controlNatural experimentNon-pharmaceutical interventions

Identifiers

PMID36539790
PMCPMC9767397
OpenAlexW4312007171

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.